1 citations · 1 across the 2 of their papers we have counts for
4 papers
PoseTrackReID: Dataset Description
Andreas Doering, Di Chen, Shanshan Zhang +2
Current datasets for video-based person re-identification (re-ID) do not include structural knowledge in form of human pose annotations for the persons of interest. Nonetheless, po…
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Umer Rafi, Andreas Doering, Bastian Leibe +1
Video annotation is expensive and time consuming. Consequently, datasets for multi-person pose estimation and tracking are less diverse and have more sparse annotations compared to…
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
Rania Briq, Andreas Doering, Juergen Gall
We propose a joint model of human joint detection and association for 2D multi-person pose estimation (MPPE). The approach unifies training of joint detection and association witho…
Joint Flow: Temporal Flow Fields for Multi Person Tracking
Andreas Doering, Umar Iqbal, Juergen Gall
In this work we propose an online multi person pose tracking approach which works on two consecutive frames and . The general formulation of our temporal network all…